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WUTANG

Windowed UID actions T-Test for Anomaly detection from Nominal Groups

Protect Your Neck from ML Model Poisoning

One of the concerns of using density-based methods for Outlier Detection is that a group of adversaries could disturb your data by slowly or all at once creating a dense region in your graph. WUTANG was created to identify when there's a group of activity that is making movements in any feature space that could potentially poison the model.

(Will be filling in this page soon, in the meantime notebook is available)

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Protect Your Neck from ML Model Poisoning

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